地方創新環境與創新成效之研究

• Main Author: 龔欣平
• Other Authors: 邊泰明
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/82332466775069447565

碩士 === 國立政治大學 === 地政研究所 === 96 === In the past few decades, the influence of globalization and informationization has made the ability to generate innovations in knowledge a key benchmark in competitiveness. The competitiveness of a country or region's economy is now closely linked to its global advantage. This global competitiveness, in turn, hinges on its ability to innovate. In Taiwan, the impact of globalization and China's market liberalization has seen local traditional industries either shut down or move elsewhere. In a time filled with uncertainties and challenges, this study seeks to examine the effect of a regional innovation environment and its innovation capability on competitiveness from a regional innovation system perspective. In this study, we review and analyze the basic data from Taiwan's regional areas and examine the key factors influencing the effectiveness of regional innovation. This was then used to select the indicators for evaluating innovation performance. Taiwan's regional environment, industry development and the current state of the domestic innovation environment were then examined to determine the current state and infrastructure of regional innovation activities to construct a set of regional innovation system indicators for Taiwan. Empirical analysis was performed utilizing multivariate analysis. First, factory analysis was used to extract the factors that represent the regional innovation environment and regional development characteristics. From these, we determine the innovation capability factors, and use these to define the innovation capability clusters. These clusters were then separated into high and low innovation effectiveness regions. Finally, we examine the areas with high innovation effectiveness and determine the correspondence between their innovation characteristics and their innovation performance. The empirical results from this study were as follow: 1. The main factors influencing innovation effectiveness were industry clustering and support services & infrastructure; 2. The regions with high innovation effectiveness were all located north of Hsinchu; 3. The innovation capability factor index may not correspond directly to patent output. A high innovation capability factor index only indicates that a region possesses the capability and potential to facilitate the sharing of knowledge and technology between industries. This capability may not necessarily be reflected in the patent output, but is instead, depends on the innovation activities being conducted in the region; 4. In regions with high innovation capability factor indices, their patent output in the past 3 years (2004~2006) far exceed the preceding decade (1994~2003). We hypothesize that the maturity of their local industries & innovation infrastructure, as well as widespread understanding of intellectual property rights, encouraged the rapid increase in the number of patents; 5. Some regions near highly innovative regions perform less effectively even though they are part of the same area. We hypothesize that this is directly caused by their geographical proximity to highly innovative regions. Finally, we recommend that the government provide assistance for regional governments to encourage investment in industrial developments and boost local innovative R&D capabilities. Assistance should also be provided to universities and incubation centers to improve their incubation & assistance effectiveness. In the future, a cooperative mechanism for linking universities, incubation centers and the industry should be set up as well to boost the capability for innovative R&D by encouraging the free flow of expertise between the industry, government, academic and research sectors.